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Transcriptome-wide selection of a reliable set of reference genes for gene expression studies in potato cyst nematodes (Globodera spp.).

March 2, 2018

Relative gene expression analyses by qRT-PCR (quantitative reverse transcription PCR) require an internal control to normalize the expression data of genes of interest and eliminate the unwanted variation introduced by sample preparation. A perfect reference gene should have a constant expression level under all the experimental conditions. However, the same few housekeeping genes selected from the literature or successfully used in previous unrelated experiments are often routinely used in new conditions without proper validation of their stability across treatments. The advent of RNA-Seq and the availability of public datasets for numerous organisms are opening the way to finding better reference genes for expression studies. Globodera rostochiensis is a plant-parasitic nematode that is particularly yield-limiting for potato. The aim of our study was to identify a reliable set of reference genes to study G. rostochiensis gene expression. Gene expression levels from an RNA-Seq database were used to identify putative reference genes and were validated with qRT-PCR analysis. Three genes, GR, PMP-3, and aaRS, were found to be very stable within the experimental conditions of this study and are proposed as reference genes for future work.

An Evaluation of two H1-Linked Markers and their Suitability for Selecting Globodera rostochiensis Resistant Potatoes in the New York Breeding Program

December 22, 2017

Jaebum Park; Huijun Yang; Walter S. De Jong; Xiaohong Wang

The golden cyst nematode (Globodera rostochiensis) is a serious pest that can dramatically reduce potato crop yield. Pathotype Ro1 of G. rostochiensis was first detected in the United States in 1941 and is still present on several farms in New York State. The H1 gene confers high levels of resistance to pathotype Ro1 but screening for it with a bioassay is time consuming and expensive. In this study two known molecular markers, 57R and TG689, were evaluated for their ability to identify resistant clones among 38 global cultivars and 350 New York breeding clones. The ability of either marker to predict resistance was high – 99.7% and 98.3% for 57R and TG689, respectively – but the ability to predict susceptibility was much lower, 47% and 41%, respectively. As resistance is the trait of interest, either of these markers is sufficient to make selection decisions in a practical breeding program. Cases exhibiting discordance between presence/absence of diagnostic markers and bioassay results were investigated further. Recombination, inflow of other resistance genes, and occasional failure of marker- and/or bio-assays are discussed as potential causes.

Park, J., H. Yang, W. S. De Jong, X. Wang. 2018. An Evaluation of two H1-Linked Markers and their Suitability for Selecting Globodera rostochiensis Resistant Potatoes in the New York Breeding Program. American Journal of Potato Research. https://link.springer.com/article/10.1007/s12230-017-9623-z

One of the main challenges to PCN management is the ability of PCN to remain dormant in the soil for several decades. For that reason, many countries have strict quarantine regulations for PCN. These regulations, although expensive and restrictive for growers, are necessary to prevent further spread of PCN but should be lifted when no more viable cysts are found. Here, we report a promising qRT-PCR method for the quantification of viable eggs and propose that this method be included in routine testing. The method was successful for quantifying G. ellingtonae, G. rostochiensis and G. pallida and was found to be very sensitive with the systematic detection of a single larva.

The Draft Genome of Globodera ellingtonae

Globodera ellingtonae is a newly described potato cyst nematode (PCN) found in Idaho, Oregon, and Argentina. Here, we present a genome assembly for G. ellingtonae, a relative of the quarantine nematodes G. pallida and G. rostochiensis, produced using data from Illumina and Pacific Biosciences DNA sequencing technologies.